13 days old

Data Scientist - The Coca-Cola Company

Atlanta, Georgia
  • Jobs Rated
    7th

Why Join Coca-Cola North America?
It’s an exciting time to work in The Coca-Cola Company’s flagship market. We’re accelerating our momentum as the fastest-growing large consumer goods company in North America by putting people at the heart of our business and everything we do – whether we’re innovating to give consumers the drinks and packaging sizes they want or building our eCommerce capabilities. People are our focus when we’re collaborating with our diverse network of locally-connected bottling partners, and when we’re returning every drop of water we use to communities and nature. And people – with the different backgrounds, skills and perspectives they bring to our workplace – are helping transform our business, one big idea at a time.

The Candidate

This role within Revenue Growth Management (Center of Excellence) will be responsible for creating and maintaining data driven solutions and processes to extracting insights in creative ways using confirmatory and exploratory analytics, and create new lines of thinking within the Coca-Cola system.

Position Overview

You will drive profitability using business acumen coupled with proficiency across data and analytics. You will act as an integrator and manage the end to end analytics of our proprietary approach to revenue optimization as well as identifying sources of value from big data and generating data driven insights to create value in our market.

  • Data: Work closely with data engineers to understand data structures and requirements, and play a role in defining the data roadmap for organization to drive continuous impact.
  • Analytics: This role will drive analytical thought process and make significant contribution to analytical processes, developments, and transformation of new and legacy algorithms. The ideal candidate will have extensive and hands on experience in data querying, analytical programming, statistical programming, and regularization. Experience in building end-to-end analytical solutions including creating hypothesis, data gathering, data enrichment, data management, data analysis, algorithm building, insights reporting, scalability and automation. Hands on experience in deploying machine learning models, regressors, and/or econometric models in a scalable environment.
  • Advisory leadership: Combine the views of subject matter expert and data engineers/scientists to drive insights to action and align stakeholders around the solution. You will ideally develop a peer-like counsellor relationship to business leaders.
  • Business acumen: Develop or have deep industry expertise (Consumer Package Goods and/or Food and Beverage). You will be expected to understand current state of analytics more broadly and able to apply techniques from across industries.

Requirements

Requirements

  • Bachelor’s Degree in a relevant field (e.g. Analytics, Computer Science, Mathematics, Statistics, Data Science, Engineering, Economics)
  • Experience in building scalable models in R and/or Python
  • Experience in relational database such as SQL (Teradata, Oracle, PostgreSQL, etc.)
  • Expertise or demonstrable knowledge in Statistics / Machine Learning / Data Science / IoT
  • Strong consultative communication skills diagnosing data to develop successful growth strategies with internal clients.
  • Proven comfort and an intellectual curiosity for working with large sets of data, pulling in relevant team members to address identified and sometimes undiscovered needs for clients
  • Demonstrated ability to generate new ideas, and develop them from your concept to a solution
  • Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data
  • Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience

Preferred

  • 3 or more years of work experience in analytics and decision science
  • Experience in working with AWS suite of tools (Athena, Hive, Sagemaker, S3, etc.)
  • Experience in developing dashboards and scorecards in Tableau and/or Power BI
  • Experience with modern data management and analytic tool (e.g. Hadoop, NoSQL, Tensorflow, Spark)

Categories

Jobs Rated Reports for Data Scientist

Posted: 2020-02-14 Expires: 2020-04-14

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Data Scientist - The Coca-Cola Company

The Coca-Cola Company
Atlanta, Georgia

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